Star USA Federal Credit Union Mortgage Lending & HMDA Data, 2020

In 2020, Star USA Federal Credit Union of Charleston, WV reported 464 mortgage applications totaling $37.1 million, up 33% from 2019. The average application was for $79,978, and applicants reported an average income of $69,834. 44% of its applications resulted in an originated loan and 21% were denied. Its largest markets were Huntington-Ashland, WV-KY-OH (31), Charleston, WV (29) and Beckley, WV (24) (applications in parentheses).

Mortgage Company & Address Star USA Federal Credit Union
One Cantley Drive
Charleston, WV 25314
Tel #: available with data download
Federal Regulator * available with data download
Years 2025  2024  2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 464
Total Mortgage Loan Application Amount $37,110,000
Average Mortgage Loan Application Amount $79,978
Highest Mortgage Loan Application Amount $1,175,000
Average Applicant Income $69,834
Highest Applicant Income $876,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Star USA Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans. Applications reported at $100 million or more are left out of these totals.

Mortgage Loan Application Totals for Star USA Federal Credit Union by Metropolitan Area in 2020

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Outside any metro area 81 $ 4,855,000 $ 59,938 $ 55,753
Huntington-Ashland, WV-KY-OH 31 $ 6,035,000 $ 194,677 $ 158,000
Charleston, WV 29 $ 6,015,000 $ 207,413 $ 134,000
Beckley, WV 24 $ 3,660,000 $ 152,500 $ 112,000
Grand Rapids-Wyoming, MI 18 $ 900,000 $ 50,000 $ 58,000
Warren-Troy-Farmington Hills, MI 17 $ 765,000 $ 45,000 $ 53,000
Minneapolis-St. Paul-Bloomington, MN-WI 15 $ 765,000 $ 51,000 $ 52,733
Montgomery County-Bucks County-Chester County, PA 15 $ 705,000 $ 47,000 $ 55,000
Syracuse, NY 9 $ 535,000 $ 59,444 $ 43,000
New York-Newark, NY 8 $ 630,000 $ 78,750 $ 55,500
Detroit-Dearborn-Livonia, MI 7 $ 325,000 $ 46,428 $ 49,000
Greeley, CO 7 $ 265,000 $ 37,857 $ 98,000
Toledo, OH 7 $ 225,000 $ 32,142 $ 43,000
Allentown-Bethlehem-Easton, PA-NJ 6 $ 320,000 $ 53,333 $ 61,000
Lancaster, PA 6 $ 290,000 $ 48,333 $ 55,000
Rochester, NY 6 $ 390,000 $ 65,000 $ 61,000
St. Louis, MO-IL 6 $ 300,000 $ 50,000 $ 48,333
Utica-Rome, NY 6 $ 310,000 $ 51,666 $ 65,000
York-Hanover, PA 6 $ 300,000 $ 50,000 $ 78,000
Baltimore-Columbia-Towson, MD 5 $ 265,000 $ 53,000 $ 60,000
Boise City, ID 5 $ 405,000 $ 81,000 $ 44,000
Buffalo-Cheektowaga-Niagara Falls, NY 5 $ 285,000 $ 57,000 $ 45,000
Camden, NJ 5 $ 215,000 $ 43,000 $ 42,000
Chicago-Naperville, IL 5 $ 245,000 $ 49,000 $ 56,000
Kansas City, MO-KS 5 $ 325,000 $ 65,000 $ 50,800
Monroe, MI 5 $ 215,000 $ 43,000 $ 38,000
Cedar Rapids, IA 4 $ 240,000 $ 60,000 $ 53,000
Flint, MI 4 $ 190,000 $ 47,500 $ 74,000
Harrisburg-Carlisle, PA 4 $ 240,000 $ 60,000 $ 46,000
Pittsburgh, PA 4 $ 190,000 $ 47,500 $ 68,000
Ames, IA 3 $ 155,000 $ 51,666 $ 47,000
Cleveland-Elyria, OH 3 $ 65,000 $ 21,666 $ 55,000
Columbus, OH 3 $ 155,000 $ 51,666 $ 48,000
Gettysburg, PA 3 $ 225,000 $ 75,000 $ 59,000
Lansing-East Lansing, MI 3 $ 95,000 $ 31,666 $ 41,000
New York-Jersey City-White Plains, NY-NJ 3 $ 225,000 $ 75,000 $ 46,000
Omaha-Council Bluffs, NE-IA 3 $ 185,000 $ 61,666 $ 39,000
Reading, PA 3 $ 165,000 $ 55,000 $ 46,000
Watertown-Fort Drum, NY 3 $ 185,000 $ 61,666 $ 34,000
Wichita, KS 3 $ 65,000 $ 21,666 $ 22,000
Albany-Schenectady-Troy, NY 2 $ 220,000 $ 110,000 $ 59,000
Ann Arbor, MI 2 $ 100,000 $ 50,000 $ 50,000
Bloomington, IL 2 $ 90,000 $ 45,000 $ 54,000
Canton-Massillon, OH 2 $ 180,000 $ 90,000 $ 78,000
Coeur D'Alene, ID 2 $ 110,000 $ 55,000 $ 34,000
Lebanon, PA 2 $ 110,000 $ 55,000 $ 32,000
Morgantown, WV 2 $ 130,000 $ 65,000 $ 54,000
Niles-Benton Harbor, MI 2 $ 60,000 $ 30,000 $ 56,000
St. Joseph, MO-KS 2 $ 230,000 $ 115,000 $ 48,500
Staunton-Waynesboro, VA 2 $ 90,000 $ 45,000 $ 31,000
Winchester, VA-WV 2 $ 100,000 $ 50,000 $ 49,000
Akron, OH 1 $ 25,000 $ 25,000 $ 45,000
Appleton, WI 1 $ 25,000 $ 25,000 $ 17,000
Binghamton, NY 1 $ 35,000 $ 35,000 $ 41,000
Chambersburg-Waynesboro, PA 1 $ 45,000 $ 45,000 $ 34,000
Charlotte-Concord-Gastonia, NC-SC 1 $ 355,000 $ 355,000 $ 175,000
Clarksville, TN-KY 1 $ 25,000 $ 25,000 $ 96,000
Colorado Springs, CO 1 $ 95,000 $ 95,000 $ 60,000
Decatur, IL 1 $ 25,000 $ 25,000 $ 35,000
Denver-Aurora-Lakewood, CO 1 $ 45,000 $ 45,000 $ 53,000
Des Moines-West Des Moines, IA 1 $ 35,000 $ 35,000 $ 32,000
Dubuque, IA 1 $ 115,000 $ 115,000 $ 73,000
Eau Claire, WI 1 $ 35,000 $ 35,000 $ 62,000
Elizabethtown-Fort Knox, KY 1 $ 55,000 $ 55,000 $ 51,000
Elkhart-Goshen, IN 1 $ 45,000 $ 45,000 $ 25,000
Fort Collins, CO 1 $ 35,000 $ 35,000 $ 66,000
Hagerstown-Martinsburg, MD-WV 1 $ 45,000 $ 45,000 $ 64,000
Indianapolis-Carmel-Anderson, IN 1 $ 35,000 $ 35,000 $ 76,000
Iowa City, IA 1 $ 75,000 $ 75,000 $ 109,000
Jackson, MI 1 $ 15,000 $ 15,000 $ 64,000
Jefferson City, MO 1 $ 65,000 $ 65,000 $ 66,000
Joplin, MO 1 $ 25,000 $ 25,000 $ 31,000
Kalamazoo-Portage, MI 1 $ 45,000 $ 45,000 $ 47,000
Kankakee, IL 1 $ 35,000 $ 35,000 $ 41,000
Knoxville, TN 1 $ 315,000 $ 315,000 $ 209,000
Lake County-Kenosha County, IL-WI 1 $ 35,000 $ 35,000 $ 40,000
Lincoln, NE 1 $ 35,000 $ 35,000 $ 49,000
Louisville/Jefferson County, KY-IN 1 $ 75,000 $ 75,000 $ 31,000
Lynchburg, VA 1 $ 65,000 $ 65,000 $ 40,000
Manhattan, KS 1 $ 45,000 $ 45,000 $ 58,000
Mansfield, OH 1 $ 45,000 $ 45,000 $ 55,000
Muskegon, MI 1 $ 45,000 $ 45,000 $ 53,000
Nashville-Davidson--Murfreesboro--Franklin, TN 1 $ 55,000 $ 55,000 $ 72,000
New Haven-Milford, CT 1 $ 85,000 $ 85,000 $ 133,000
Scranton--Wilkes-Barre--Hazleton, PA 1 $ 45,000 $ 45,000 $ 61,000
Sioux Falls, SD 1 $ 95,000 $ 95,000 $ 100,000
Springfield, OH 1 $ 25,000 $ 25,000 $ 30,000
Vineland-Bridgeton, NJ 1 $ 75,000 $ 75,000 $ 71,000
Waterloo-Cedar Falls, IA 1 $ 25,000 $ 25,000 $ 41,000
Wilmington, DE-MD-NJ 1 $ 35,000 $ 35,000 $ 72,000

Mortgage Loan Application Detail Totals for Star USA Federal Credit Union in 2020

Loan Purpose

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Home Purchase 379 $21,865,000 $57,000 $475,000 $56,000 $480,000
Refinancing 64 $10,890,000 $170,000 $515,000 $133,000 $876,000
Cash-out Refinancing 21 $4,355,000 $207,000 $1,175,000 $127,000 $351,000
Home Improvement 0 $0 $0 $0 $0 $0
Not Applicable 0 $0 $0 $0 $0 $0
Other Purpose 0 $0 $0 $0 $0 $0

Applicant Race

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
White 398 $32,870,000 $82,000 $1,175,000 $71,000 $876,000
Not Provided 22 $1,370,000 $62,000 $155,000 $55,000 $84,000
Hispanic 20 $950,000 $47,000 $85,000 $58,000 $96,000
Black or African American 16 $1,030,000 $64,000 $245,000 $66,000 $160,000
American Indian or Alaskan Native 3 $135,000 $45,000 $45,000 $46,000 $48,000
Asian 2 $600,000 $300,000 $515,000 $180,000 $292,000
Native Hawaiian or Other Pacific Islander 1 $45,000 $45,000 $45,000 $26,000 $26,000
Not applicable 0 $0 $0 $0 $0 $0

Loan Type

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Conventional (any loan other than FHA, VA, FSA, or RHS loans) 464 $37,110,000 $79,000 $1,175,000 $70,000 $876,000
FHA-insured (Federal Housing Administration) 0 $0 $0 $0 $0 $0
FSA/RHS (Farm Service Agency or Rural Housing Service) 0 $0 $0 $0 $0 $0
VA-guaranteed (Veterans Administration) 0 $0 $0 $0 $0 $0

Outcome

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Loan Originated 202 $21,510,000 $106,000 $1,175,000 $90,000 $876,000
Application Approved But Not Accepted 162 $8,670,000 $53,000 $155,000 $54,000 $160,000
Application Denied By Financial Institution 99 $6,635,000 $67,000 $205,000 $52,000 $150,000
Application Withdrawn By Applicant 1 $295,000 $295,000 $295,000 $153,000 $153,000
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
Loan Purchased By The Institution 0 $0 $0 $0 $0 $0
Preapproval Approved but not Accepted 0 $0 $0 $0 $0 $0
Preapproval Denied by Financial Institution 0 $0 $0 $0 $0 $0

Denial Reason

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Not applicable 365 $30,475,000 $83,000 $1,175,000 $74,000 $876,000
Credit History 73 $4,675,000 $64,000 $205,000 $48,000 $100,000
Debt-To-Income Ratio 12 $1,090,000 $90,000 $195,000 $65,000 $112,000
Employment History 7 $355,000 $50,000 $75,000 $59,000 $82,000
Other 6 $410,000 $68,000 $105,000 $69,000 $150,000
Insufficient Cash (Downpayment, Closing Cost) 1 $105,000 $105,000 $105,000 $84,000 $84,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Star USA Federal Credit Union's 2020 lending activity. By analyzing detailed data on mortgage applications, total loan amounts, applicant incomes, loan purposes, and approval rates, industry professionals, researchers, and analysts can gain a clear understanding of this lender's role in the mortgage market.

This in-depth HMDA data allows real estate experts, financial analysts, and policymakers to track lending trends, evaluate borrower demographics, and assess Star USA Federal Credit Union's mortgage approval patterns. Utilize this powerful dataset to analyze market performance, compare lending practices, and make data-driven decisions in the ever-changing mortgage industry.
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